| Urban intelligence for pandemic response Y Lai, W Yeung, LA Celi JMIR public health and surveillance 6 (2), e18873, 2020 | 52 | 2020 |
| Assessment of proficiency of N95 mask donning among the general public in Singapore W Yeung, K Ng, JMN Fong, J Sng, BC Tai, SE Chia JAMA network open 3 (5), e209670-e209670, 2020 | 20 | 2020 |
| Predicting clinical outcomes in acute ischemic stroke patients undergoing endovascular thrombectomy with machine learning: a systematic review and meta-analysis YH Teo, ICZY Lim, FS Tseng, YN Teo, CS Kow, ZHC Ng, N Chan Ko Ko, ... Clinical neuroradiology 31, 1121-1130, 2021 | 18 | 2021 |
| Alcohol use disorder and heavy episodic drinking in rural communities in Cambodia: Risk factors and community-perceived strategies W Yeung, WY Leong, K Khoun, W Ong, S Sambi, SM Lim, B Bieber, ... Asia Pacific Journal of Public Health 27 (8), 835-847, 2015 | 16 | 2015 |
| Blood pressure trend in hospitalized adult dengue patients W Yeung, DCB Lye, TL Thein, Y Chen, YS Leo Plos one 15 (7), e0235166, 2020 | 10 | 2020 |
| Patient harm during COVID-19 pandemic: using a human factors lens to promote patient and workforce safety MA Alagha, F Jaulin, W Yeung, LA Celi, CV Cosgriff, LC Myers Journal of patient safety 17 (2), 87-89, 2021 | 9 | 2021 |
| Predicting mortality, thrombus recurrence and persistence in patients with post-acute myocardial infarction left ventricular thrombus W Yeung, CH Sia, T Pollard, AST Leow, BYQ Tan, R Kaur, TC Yeo, ... Journal of Thrombosis and Thrombolysis, 1-8, 2021 | 8 | 2021 |
| Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study B Mamandipoor, W Yeung, L Agha-Mir-Salim, DJ Stone, V Osmani, ... Journal of clinical monitoring and computing, 1-11, 2022 | 7 | 2022 |
| Interpretable machine learning model for early prediction of mortality in elderly patients with multiple organ dysfunction syndrome (MODS): a multicenter retrospective study … X Liu, P Hu, Z Mao, PC Kuo, P Li, C Liu, J Hu, D Li, D Cao, RG Mark, ... arXiv preprint arXiv:2001.10977, 2020 | 6 | 2020 |
| Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation X Liu, P Hu, W Yeung, Z Zhang, V Ho, C Liu, C Dumontier, PJ Thoral, ... The Lancet Digital Health 5 (10), e657-e667, 2023 | 5 | 2023 |
| Clinically interpretable machine learning models for early prediction of mortality in older patients with multiple organ dysfunction syndrome: an international multicenter … X Liu, C DuMontier, P Hu, C Liu, W Yeung, Z Mao, V Ho, PJ Thoral, ... The Journals of Gerontology: Series A 78 (4), 718-726, 2023 | 5 | 2023 |
| Developing and validating multi-modal models for mortality prediction in COVID-19 patients: A multi-center retrospective study JT Wu, MÁA de La Hoz, PC Kuo, JA Paguio, JS Yao, EC Dee, W Yeung, ... Journal of Digital Imaging 35 (6), 1514-1529, 2022 | 5 | 2022 |
| Delirium prediction in the ICU: designing a screening tool for preventive interventions A Bhattacharyya, S Sheikhalishahi, H Torbic, W Yeung, T Wang, J Birst, ... JAMIA open 5 (2), ooac048, 2022 | 5 | 2022 |
| Prediction of in-hospital mortality of Clostriodiodes difficile infection using critical care database: a big data-driven, machine learning approach H Du, KTH Siah, VZ Ru-Yan, R Teh, CYE Tan, W Yeung, C Scaduto, ... BMJ Open Gastroenterology 8 (1), e000761, 2021 | 5 | 2021 |
| A weakly-supervised named entity recognition machine learning approach for emergency medical services clinical audit H Wang, WLK Yeung, QX Ng, A Tung, JAM Tay, D Ryanputra, MEH Ong, ... International journal of environmental research and public health 18 (15), 7776, 2021 | 4 | 2021 |
| Varying association of laboratory values with reference ranges and outcomes in critically ill patients: an analysis of data from five databases in four countries across Asia … H Xu, L Agha-Mir-Salim, Z O’Brien, DC Huang, P Li, J Gómez, X Liu, T Liu, ... BMJ Health & Care Informatics 28 (1), 2021 | 2 | 2021 |
| Factors influencing protective behaviours during haze episodes in Singapore: A population-based study KYY Ng, W Yeung, KL Sou, JX Lim, S Liang, RKJ Lee, NJM Fong, A Lua, ... Annals of the Academy of Medicine, Singapore, 2021 | 2 | 2021 |
| CURATE. AI-assisted dose titration for anti-hypertensive personalized therapy: study protocol for a multi-arm, randomized, pilot feasibility trial using CURATE. AI (CURATE. AI … ATL Truong, SB Tan, GZ Wang, AWJ Yip, M Egermark, W Yeung, VV Lee, ... European Heart Journal-Digital Health 5 (1), 41-49, 2024 | 1 | 2024 |
| Use of technology to aid clinical audit in an Asian emergency medical services department QX Ng, WLK Yeung, JAM Tay, S Arulanandam Healthcare 9 (5), 491, 2021 | 1 | 2021 |
| An emergency medical services clinical audit system driven by named entity recognition from deep learning W Han, W Yeung, A Tung, JTA Meng, D Ryanputera, F Mengling, ... arXiv preprint arXiv:2007.03596, 2020 | 1 | 2020 |
Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
